Building scalable cloud infrastructure, production-grade CI/CD pipelines, and AI-powered applications.
manish@cloud:~$ whoami
Manish Kumar
Cloud & DevOps Engineer
manish@cloud:~$ skills
AWS β’ Azure β’ GCP β’ Kubernetes β’ Docker
Terraform β’ Ansible β’ Helm β’ Jenkins
GitHub Actions β’ ArgoCD β’ Linux β’ Python
manish@cloud:~$ current_focus
-> Multi-Cloud Infrastructure
-> Kubernetes & GitOps Automation
-> CI/CD Pipeline Engineering
-> DevSecOps & Observability
-> AI + Cloud Integrations
-> Scalable Production Architectures
manish@cloud:~$ philosophy
"Automate everything. Build reliable systems.
Monitor deeply. Scale intelligently."| Area | Technologies |
|---|---|
| βοΈ Cloud Platforms | AWS, Azure, GCP |
| βΈοΈ Containers & Orchestration | Docker, Kubernetes, EKS, Helm |
| π CI/CD & GitOps | GitHub Actions, Jenkins, ArgoCD |
| ποΈ Infrastructure as Code | Terraform, CloudFormation, OpenTofu |
| π Monitoring & Logging | Prometheus, Grafana, CloudWatch |
| π‘οΈ Security | IAM, WAF, ACM, CloudTrail |
| π€ AI & GenAI | Google Gemini API, Prompt Engineering |
| πΎ Databases | MySQL, PostgreSQL, DynamoDB, Redis |
| π Networking | VPC, Route53, Transit Gateway, Load Balancers |
AWS β’ Gemini AI β’ Streamlit β’ Python
β AI Resume Analysis
β ATS Score Prediction
β Keyword Gap Detection
β Real-time Feedback System
β Hosted on AWS EC2 with Secure Access
GitHub Actions β’ Docker β’ ECR β’ EKS β’ ArgoCD
β Automated Docker Image Build & Push
β GitOps Deployment using ArgoCD
β Kubernetes Auto Synchronization
β CI/CD Workflow Automation
AWS β’ Prometheus β’ Grafana β’ CloudWatch
β Real-time Infrastructure Monitoring
β Centralized Logging Pipeline
β Grafana Dashboards with PromQL
β CloudWatch β Lambda β S3 Automation
AWS Lambda β’ API Gateway β’ DynamoDB
β Serverless Architecture
β Route53 + ACM SSL Integration
β RESTful APIs using Lambda Proxy
β IAM-Based Secure Communication
AWS ElastiCache β’ Redis β’ RDS
β Reduced RDS Read Latency by 80%
β Redis Cache-Aside Strategy
β Session Optimization
β Multi-AZ High Availability Setup
π Contribution Activity
π₯ Streak Statistics
- βοΈ AWS Cloud & Networking
- βΈοΈ Kubernetes & GitOps
- π Terraform & Infrastructure as Code
- π DevSecOps & Cloud Security
- π€ GenAI & Prompt Engineering
- Advanced Kubernetes Architecture
- OpenShift & Service Mesh
- AI-Powered DevOps Automation
- Multi-Cloud Infrastructure
- DevSecOps Best Practices
focus:
- Automation First
- Infrastructure as Code
- Secure by Design
- Observability Matters
- Scalable Architectures
- Continuous Learning
philosophy:
"Build systems that scale, automate everything possible,
and never stop learning."





